Energy saving and emission reduction is an important issue for the sustainable development of the paper industry. Household paper machine is the main energy consuming equipment in paper industry,and its energy consumption level directly affects the economic benefit and resource utilization efficiency of enterprises. However,due to the diverse factors affecting the energy consumption of paper machines and the complex sources of energy consumption data,how to mine valuable energy-saving information from massive heterogeneous data is the technical bottleneck to be broken through in smart paper making. In view of the complexity and diversity of energy consumption data of household paper machine,this paper studies key technologies such as data preprocessing,mining algorithm selection and visual display on the basis of analyzing the application necessity of data mining technology. A practical method of energy consumption data mining for household paper machine is proposed,which includes unified data standard,establishment of collection management platform and construction of mining model.
关键词
生活用纸/造纸机/能耗/数据挖掘/节能降耗
Key words
household paper/paper machine/energy consumption/data mining/energy saving and consumption reduction
维普
万方数据